variational-autoencoder topic
tybalt
Training and evaluating a variational autoencoder for pan-cancer gene expression data
VAE-Tensorflow
A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
rectorch
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
VAME
Variational Animal Motion Embedding - A tool for time series embedding and clustering
Deep-learning-with-Python
Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
ResNetVAE
Variational AutoEncoder + ResNet Transfer Learning
NeuralDialog-LaRL
PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Music-SketchNet
ISMIR 2020 Paper repo: Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm
MIDI-VAE
linguistic-style-transfer-pytorch
Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch